Keyword Analysis & Research: wikisql dataset


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Frequently Asked Questions

What is wikiwikisql used for?

WikiSQL consists of a corpus of 87,726 hand-annotated SQL query and natural language question pairs. These SQL queries are further split into training (61,297 examples), development (9,145 examples) and test sets (17,284 examples). It can be used for natural language inference tasks related to relational databases.

What is wikisql and how do I cite it?

WikiSQL is the dataset released along with our work Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. If you use WikiSQL, please cite the following work:

What is a large crowd-sourced dataset?

A large crowd-sourced dataset for developing natural language interfaces for relational databases We show detailed information for up to 5 configurations of the dataset. An example of 'validation' looks as follows.

How accurate is the wikisql semantic parsing model?

The model is evaluated on WikiSQL, a semantic parsing dataset consisting of 80,654 (NL, SQL) pairs over 24,241 tables from Wikipedia. We achieve 83.6% logical form accuracy and 89.6% execution accuracy on WikiSQL test set.


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